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agricolae (version 1.1-4)

Statistical Procedures for Agricultural Research

Description

Agricolae was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, mention Systems Engineering, Faculty of Industrial and Systems Engineering, National Engineering University (UNI), Lima-Peru Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.

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Version

Install

install.packages('agricolae')

Monthly Downloads

36,813

Version

1.1-4

License

GPL

Maintainer

Felipe Mendiburu

Last Published

April 9th, 2013

Functions in agricolae (1.1-4)

Durbin test and multiple comparison of treatments

Correlation analysis. Methods of Pearson, Spearman and Kendall

Correlation Coefficient

Join class for histogram

Data growth of trees

Data in greenhouse

stability.nonpar

Nonparametric stability analysis

Multiple comparisons. The van der Waerden (Normal Scores)

Uniformity soil. Smith's Index of Soil Heterogeneity

consensus of clusters

Setting the last character of a chain

Resampling to find the optimal number of markers

Descriptive measures of grouped data

Data amendment Huanuco 2006

Computations of Bayesian t-values for multiple comparisons

Calculating the absolute or relative value of the AUDPC

resampling.model

Resampling for linear models

Omitting the rows or columns with missing observations of a matrix (NA)

Data Glycoalkaloids

Coefficient of the similarity matrix variation

Lattice designs

Alpha design type (0,1)

Multiple comparisons, scheffe

Augmented block design

Interpolation for nonequidistant points in matrix

Factorial design k-factors with n-levels in blocks

Completing missing data of a matrix according to a model

Multiple comparisons: Tukey

Correlation of Kendall

Data and analysis Mother and baby trials

Split Plot Design

Data for an analysis in split-plot

plot.graph.freq

Data for AMMI without repetition

Statistics of data grouped by factors

Line x Tester Analysis

Data of Paracsho biodiversity

Finding the Kurtosis coefficient

Finding the skewness coefficient

Coefficient of the experiment variation

Data Line by tester

Ordering the treatments according to the multiple comparison

Data AUDPC Comas - Oxapampa

Stability analysis. SHUKLA'S STABILITY VARIANCE AND KANG'S

Data: Rainfall thresholds as support for timing fungicide applications in the control of potato late blight in Peru

Data for the analysis of carolina genetic design

frequency Table of a Histogram

Plotting the standard error or standard deviance of a multiple comparison of means

Data of potato, Heterosis

groups of hclust

Data of yield of melon in a Latin square experiment

Biodiversity Index

The polygon of frequency on the histogram

Multiple comparisons, "Least significant difference" and Adjust P-values

Plotting the ojiva from a histogram

Strip-Plot analysis

Data of Bacterial Wilt (AUDPC) and soil

summary.graph.freq

frequency Table of a Histogram

Data of Grain yield of rice variety IR8

Strip Plot Design

North Carolina Designs I, II and III

Student-Newman-Keuls (SNK)

Graeco - latin square design

Data of molecular markers

Data of assessment of the population in the soil R.solanacearum

Plotting the multiple comparison of means

Design in blocks for factorial pxq

Normal curve on the histogram

Homologation of regressions

Data clones from the PLRV population

Random generation by Montecarlo

Splip-Plot analysis

Data of soil analysis for 13 localities

simulation.model

Simulation of the linear model under normality

Class intervals

Randomized Complete Block Design

Cut tree of consensus

Data of potato yield in a different environment

Data Potato Wild

Randomizing a factorial in a block

Matrix of similarity in binary data

Split-split-Plot analysis

Analysis of the Partially Balanced Incomplete Block Design

Data amendment Carhuaz 2006

Latin Square Design

Data of cutting

Friedman test and multiple comparison of treatments

Duncan's new multiple range test

Data of sweetpotato yield

Class intervals for a histogram, the rule of Sturges

Grouping the treatments averages in a comparison with a minimum value

Variance K, ties, Kendall

agricolae-package

Statistical Procedures for Agricultural Research

Randomized Balanced Incomplete Block Designs. BIB

Data of native potato

Data evaluation of the disease overtime

Kruskal Wallis test and multiple comparison of treatments.

Multiple comparisons, Waller-Duncan

Finding the Variance Analysis of the Augmented block Design

Data for late blight of potatoes

Data of Ralstonia population in clay soil

Finding the Variance Analysis of the Balanced Incomplete Block Design

Completely Randomized Design

Data for Friedman test

Nonadditivity model test

Data of AUDPC for nonparametrical stability analysis